Summarization of a recording for quality control

ABSTRACT

Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

BACKGROUND

The present disclosure relates to summarization or a recording and morespecifically, to methods, systems and computer program products forperforming summarization of a recording based on biometric and businessprocess data for quality control monitoring.

Consumers routinely rely on customer service representatives to performcontracted tasks, such as repairing a car, performing surgery, or thelike in an expected manner. However, mistakes do happen and often aconsumer or employer is left wondering how to prove that a contractedservice was performed improperly. Today a consumer's course of actionmay be to hire an additional expert service provider for a secondopinion regarding how the service was provided. In some cases, anemployer may use video to record the working environment of employeesand it may instigate a review of the video upon discovery of a problem.If a problem is discovered, the employer may take actions to prevent areoccurrence with future consumer.

Video summarization is one way to facilitate sharing video data,specifically the relevant information from that video, with otherparties. Video summarization techniques collect a subset of frames, forexample based on saliency of each frame, to provide a story using fewerframes of the video. Some currently available video summarizationtechniques use a standard sampling rate to select a subset of frames forcollection. For example, the a single frame out of a fixed number offrames, i.e., 1/10, 1/20, may be selected and the ratio of the number ofselected frames to fixed frames can be determined based on theapplication.

SUMMARY

In accordance with an embodiment, a method for performing summarizationof a recording based on biometric and business process data is provided.The method includes receiving the recording of a customer servicerepresentative performing a task, receiving a biometric data from asensor configured to monitor the customer service representative duringthe performance of the task and obtaining a business process datarelating to one or more of the task and the customer servicerepresentative. The method also includes identifying one or moreportions of interest from the recording based on one or more of thebiometric data and the business process data and compiling the one ormore portions of interest into a summarization of the task.

In accordance with another embodiment, a system for performingsummarization of a recording based on biometric and business processdata includes a processor in communication with one or more types ofmemory. The processor is configured to receive the recording of acustomer service representative performing a task, receive a biometricdata from a sensor configured to monitor the customer servicerepresentative during the performance of the task and obtain a businessprocess data relating to one or more of the task and the customerservice representative. The processor is further configured to identifyone or more portions of interest from the recording based on one or moreof the biometric data and the business process data and compile the oneor more portions of interest into a summarization of the task.

In accordance with a further embodiment, a computer program product forperforming summarization of a recording based on biometric and businessprocess data includes a non-transitory storage medium readable by aprocessing circuit and storing instructions for execution by theprocessing circuit for performing a method. The method includesreceiving the recording of a customer service representative performinga task, receiving a biometric data from a sensor configured to monitorthe customer service representative during the performance of the taskand obtaining a business process data relating to one or more of thetask and the customer service representative. The method also includesidentifying one or more portions of interest from the recording based onone or more of the biometric data and the business process data andcompiling the one or more portions of interest into a summarization ofthe task.

BRIEF DESCRIPTION OF THE DRAWINGS

The subject matter which is regarded as the invention is particularlypointed out and distinctly claimed in the claims at the conclusion ofthe specification. The forgoing and other features, and advantages ofthe invention are apparent from the following detailed description takenin conjunction with the accompanying drawings in which:

FIG. 1 is a block diagram illustrating one example of a processingsystem for practice of the teachings herein;

FIG. 2 is a block diagram illustrating a customer service environment inaccordance with an exemplary embodiment;

FIG. 3 is a block diagram of a system for performing summarization of arecording based on biometric and business process data in accordancewith an exemplary embodiment; and

FIG. 4 is a flow diagram of a method for performing summarization of arecording based on biometric and business process data in accordancewith an exemplary embodiment.

DETAILED DESCRIPTION

In accordance with exemplary embodiments of the disclosure, methods,systems and computer program products for performing summarization of arecording based on biometric and business process data are provided. Inexemplary embodiments, a video capture device is configured to record acustomer service representative performing a task and a biometric sensoris configured to capture biometric data from the customer servicerepresentative while he is performing the task. The video and thebiometric data are provided to a processing system that is configured tocreate a summarization of the video by compiling frames from the videothat are selected based on the biometric data. The processing system isalso configured to select frames from the video based on stored businessprocess data relating to the customer service representative and/or thetask.

In exemplary embodiments, the biometric data and stored business processdata are used by the processing system to identify particular frames, orframe subsets, from the video as important and to include them in thevideo summarization. For example, an accelerated heart rate or highblood pressure could be an indicator of anxiety on the part of thecustomer service representative while performing a task, which mayincrease the chances of an error being made. The chance of errors beingmade may also increase at the end of a shift while a customer servicerepresentative is most fatigued. Accordingly, the processing system maysample video frames during these timing windows at a higher rate thanduring other time windows.

Although the disclosure primarily discusses performing summarization ofa recording in terms that relate to the summarization of a videorecording, it will be appreciated by those of ordinary skill in the artthat the same techniques, methods and systems can be used to performsummarization of an audio recording. In addition, the term customerservice representative is not intended to be limiting in any way and itwill be appreciate by those of ordinary skill in the art that thesummarization techniques disclosed herein may be applied to anyrecording of an individual that can be linked to a task entity.

Referring to FIG. 1, there is shown an embodiment of a processing system100 for implementing the teachings herein. In this embodiment, thesystem 100 has one or more central processing units (processors) 101 a,101 b, 101 c, etc. (collectively or generically referred to asprocessor(s) 101). In one embodiment, each processor 101 may include areduced instruction set computer (RISC) microprocessor. Processors 101are coupled to system memory 114 and various other components via asystem bus 113. Read only memory (ROM) 102 is coupled to the system bus113 and may include a basic input/output system (BIOS), which controlscertain basic functions of system 100.

FIG. 1 further depicts an input/output (I/O) adapter 107 and a networkadapter 106 coupled to the system bus 113. I/O adapter 107 may be asmall computer system interface (SCSI) adapter that communicates with ahard disk 103 and/or tape storage drive 105 or any other similarcomponent. I/O adapter 107, hard disk 103, and tape storage device 105are collectively referred to herein as mass storage 104. Operatingsystem 120 for execution on the processing system 100 may be stored inmass storage 104. A network adapter 106 interconnects bus 113 with anoutside network 116 enabling data processing system 100 to communicatewith other such systems. A screen (e.g., a display monitor) 115 isconnected to system bus 113 by display adaptor 112, which may include agraphics adapter to improve the performance of graphics intensiveapplications and a video controller. In one embodiment, adapters 107,106, and 112 may be connected to one or more I/O busses that areconnected to system bus 113 via an intermediate bus bridge (not shown).Suitable I/O buses for connecting peripheral devices such as hard diskcontrollers, network adapters, and graphics adapters typically includecommon protocols, such as the Peripheral Component Interconnect (PCI).Additional input/output devices are shown as connected to system bus 113via user interface adapter 108 and display adapter 112. A keyboard 109,mouse 110, and speaker 111 all interconnected to bus 113 via userinterface adapter 108, which may include, for example, a Super I/O chipintegrating multiple device adapters into a single integrated circuit.

In exemplary embodiments, the processing system 100 includes a graphicsprocessing unit 130. Graphics processing unit 130 is a specializedelectronic circuit designed to manipulate and alter memory to acceleratethe creation of images in a frame buffer intended for output to adisplay. In general, graphics processing unit 130 is very efficient atmanipulating computer graphics and image processing, and has a highlyparallel structure that makes it more effective than general-purposeCPUs for algorithms where processing of large blocks of data is done inparallel.

Thus, as configured in FIG. 1, the system 100 includes processingcapability in the form of processors 101, storage capability includingsystem memory 114 and mass storage 104, input means such as keyboard 109and mouse 110, and output capability including speaker 111 and display115. In one embodiment, a portion of system memory 114 and mass storage104 collectively store an operating system such as the AIX® operatingsystem from IBM Corporation to coordinate the functions of the variouscomponents shown in FIG. 1.

Referring now to FIG. 2, a customer service environment 200 including acustomer service representative 202 in accordance with an embodiment isillustrated. As illustrated, the environment 200 includes a capturedevice 208 that is configured to record the actions of a customerservice representative 202 who is performing a task. In exemplaryembodiments, the customer service representative 202 may be performingthe task on a task entity 206. In exemplary embodiments, the capturedevice 208 may be a video capture device, an audio capture device or acombination thereof. The video capture device may be any suitable videocapture device that can capture video of the customer servicerepresentative's 202 interaction with the task entity, including but notlimited to a body camera on the customer service representative 202, asecurity camera, a webcam, or the like. For example, the customerservice representative 202 may be a mechanic and task entity 206 may bea car. The customer service representative 202 is monitored by one ormore biometric sensors 204 that are configured to capture biometric datafrom the customer service representative while he is performing thetask. In exemplary embodiments, the biometric sensors 204 may beimplemented in various forms, such as a watch, headband or alternateclothing, ring, biostamps (a mesh of circuits and sensors that canrecord electrophysiological data like skin temperature and hydrationstate of the wearer) and other “epidermal electronics.” In oneembodiment, the biometric sensors 204 may be an ECG (electrocardiograph)& EEG (electroencephalography) biosensor, such as the ones sold byNeurosky.

In exemplary embodiments, the biometric sensor 204 is configured tocommunicate with the capture device 208 and the capture device 208 mayutilize input from the biometric sensor 204 to determine when to record.For example, the biometric sensor 204 may be used to determine when thecustomer service representative 202 is performing a task and the capturedevice 208 may only record while the task is being performed.

Referring now to FIG. 3, a system 300 for performing summarization of arecording based on biometric and business process data in accordancewith an exemplary embodiment is illustrated. The system 300 includes oneor more capture devices 302, one or more biometric sensors 304 and aprocess data repository 306 which are all in communication with aprocessing system 308, which may be a processing system similar to theone shown in FIG. 1. In exemplary embodiments, a recording that includesaudio and/or video from the capture devices 302 and data from thebiometric sensors 304 are provided to processing system 308, which isconfigured to create a summarization by compiling frames from therecording that are selected based on the biometric data. In exemplaryembodiments, the processing system 308 is also configured to selectframes from the recording based on business process data relating to thecustomer service representative and/or the task that is received fromthe process data repository 306. In exemplary embodiments, the biometricdata and stored business process data are used by the processing system308 to identify particular frames, or frame subsets, from the video asimportant and includes them in a summarization created by the processingsystem 308.

For example, an accelerated heart rate or high blood pressure could bean indicator of anxiety or stress on the part of the customer servicerepresentative while performing a task, which may increase the chancesof an error being made. The chance of errors being made may alsoincrease at the end of a shift while a customer service representativeis most fatigued. Accordingly, the video processing system may samplevideo frames during these timing windows at a higher rate than duringother time windows. In exemplary embodiments, the video processingsystem is configured to create a video summarization of the customerservice representative performing the task that has an increased sampledframe rate, during time periods that heuristics of the video processingsystem identify as important periods.

In exemplary embodiments, the system 300 also includes a quality controlsystem 310 that is configured to receive the summarization of thecustomer service representative performing the task from the processingsystem 308. The quality control system 310 may be a processing systemsimilar to the one shown in FIG. 1 that is configured to allow anindividual to review the performance of the customer servicerepresentative performing the task. In exemplary embodiments, the reviewof the summarization video of the customer service representativeperforming the task may be performed either in real-time, or as apost-process, to ensure to the service receiver the quality is asexpected. In exemplary embodiments, the video summarization is analyzedby a third party (e.g., a subject matter expert), who creates and sendsthe results of their analysis back to any of the stakeholders, e.g., theservice requestor, the service provider's company, or any third partyrating system for which consumers may want quality history.

Examples of disciplines in which a video summarization system may beused include, but are not limited to: medicine (e.g. surgery, physicaltherapy); auto repair; home repair (e.g. plumbing, electrical); vehicleoperators (e.g. detect if fell asleep at wheel, detect areas in routewhich driver is anxious about safety which could help detect saferroutes); law enforcement; and airline industry (e.g. focus on qualityduring shift changes).

Referring now to FIG. 4, a flow diagram of a method 400 for performingsummarization of a recording based on biometric and business processdata in accordance with an exemplary embodiment is shown. As shown atblock 402, the method 400 includes receiving a recording of a customerservice representative performing a task. In exemplary embodiments, thevideo may include multiple videos that are taken from different anglesto show the customer service representative performing the task. Next,as shown at block 404, the method 400 includes receiving biometric datafrom one or more biometric sensors configured to monitor the customerservice representative during the performance of the task. In exemplaryembodiments, the biometric sensors may be disposed on the customerservice representative or they may be separate from the customer servicerepresentative. The method 400 includes obtaining a business processdata relating to one or more of the task and the customer servicerepresentative, as shown at block 406. In exemplary embodiments, thebusiness process data may include, but is not limited to, informationabout the hours the customer service representative has been working,the various steps required to perform the task, an importance level foreach of the steps required to perform the task, and an expected durationof each of steps required to perform the task.

Continuing with reference to FIG. 4, as shown at block 408, the method400 also includes identifying one or more portions of interest from therecording based on one or more of the biometric data and the businessprocess data. In one embodiment, the one or more portions of interestedare identified based on the biometric data exceeding a maximum thresholdvalue, i.e., the customer service representative's heart rate is over amaximum heart rate. In another embodiment, the one or more portions ofinterested are identified based on the biometric data falling below aminimum threshold value. In a further embodiment, the one or moreportions of interested are identified based on a time period during theperformance of the task in the business process data. For example, thebusiness process data may indicate that the time period at the end ofthe task is highly susceptible to errors by the customer servicerepresentative and accordingly, a higher number of frames from a videomay be identified during this time period. In another embodiment, theone or more portions of interested are identified based on a rate ofchange of the biometric data falling outside of an acceptable range. Forexample, the biometric data is may be increasing or decreasing a ratethat suggests that the customer service representative may beexperiencing a medical emergency.

In exemplary embodiments, identifying one or more frames of interestfrom the video includes sampling frames from the video at a rate that isdetermined based one or more of the biometric data and the businessprocess data. In one embodiment, the rate is positively correlated withbiometrically determined trigger, such as a stress level, of thecustomer service representative as indicated by the biometric data. Inanother embodiment, the rate is positively correlated with duration oftime that the customer service representative has been continuouslyworking as indicated by the business process data.

The method 400 also includes compiling the one or more portions ofinterest into a summarization of the task, as shown at block 410. Inexemplary embodiments, the method 400 may further include transmittingthe video summarization of the task to a quality review system foranalysis.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

What is claimed is:
 1. A computer program product for performingsummarization of a recording based on biometric and business processdata, the computer program product comprising: a non-transitory storagemedium readable by a processing circuit and storing instructions forexecution by the processing circuit for performing a method comprising:receiving the recording of a customer service representative performinga task; receiving a biometric data from a sensor configured to monitorthe customer service representative during the performance of the task;obtaining business process data relating to one or more of the task andthe customer service representative, the business process datacomprising an indicator that identifies a time period that is moresusceptible to errors by the customer service representative whileperforming the task; determining a duration of time that the customerservice representative has been continuously working based on thebusiness process data; determining that the biometric data over a firstperiod of time is indicative of an increased anxiety level for thecustomer service representative; identifying one or more portions ofinterest from the recording based on the biometric data and the businessprocess data, the one or more portions of interest comprising at least afirst portion, the first portion comprising the first period of time;and building a modified recording by compiling the one or more portionsof interest, the one or more portions of interest compiled by samplingframes from the recording at a variable sampling rate that increases asthe duration of time that the customer service representative has beencontinuously working increases; wherein the variable sampling rate isgreatest at an end of shift of the customer service representative; andwherein the variable sample rate increases during the time period thatis more susceptible to errors by the customer service representative. 2.The computer program product of claim 1, wherein the one or moreportions of interested are identified based on the biometric dataexceeding a maximum threshold value.
 3. The computer program product ofclaim 1, wherein the one or more portions of interested are identifiedbased on at least one of the biometric data falling below a minimumthreshold value and a rate of change of the biometric data fallingoutside an acceptable range.
 4. The computer program product of claim 1,wherein the one or more portions of interested are identified based on atime period during the performance of the task in the business processdata.
 5. The computer program product of claim 1, wherein the samplingrate is positively correlated with a biometrically determined trigger ofthe customer service representative as indicated by the biometric data.6. The computer program product of claim 1, wherein the sampling rate ispositively correlated with the duration of time that the customerservice representative has been continuously working as indicated by thebusiness process data.
 7. A system for performing summarization of arecording based on biometric and business process data, comprising: aprocessor in communication with one or more types of memory, theprocessor configured to: receive the recording of a customer servicerepresentative performing a task; receive a biometric data from a sensorconfigured to monitor the customer service representative during theperformance of the task; obtain business process data relating to one ormore of the task and the customer service representative, the businessprocess data comprising an indicator that identifies a time period thatis more susceptible to errors by the customer service representativewhile performing the task; determine a duration of time that thecustomer service representative has been continuously working based onthe business process data; determine that the biometric data over afirst period of time is indicative of an increased anxiety level for thecustomer service representative; identify one or more portions ofinterest from the recording based on the biometric data and the businessprocess data, the one or more portions of interest comprising at least afirst portion, the first portion comprising the first period of time;and build a modified recording that compiles the one or more portions ofinterest, the one or more portions of interest compiled by samplingframes from the recording at a variable sampling rate that increases asthe duration of time that the customer service representative has beencontinuously working increases; wherein the variable sampling rate isgreatest at an end of shift of the customer service representative; andwherein the variable sample rate increases during the time period thatis more susceptible to errors by the customer service representative. 8.The system of claim 7, wherein the one or more portions of interestedare identified based on at least one of the biometric data exceeding amaximum threshold value, the biometric data falling below a minimumthreshold value and a rate of change of the biometric data fallingoutside an acceptable range.
 9. The system of claim 7, wherein the oneor more portions of interested are identified based on a time periodduring the performance of the task in the business process data.
 10. Thesystem of claim 7, wherein the sampling rate is positively correlatedwith a biometrically determined trigger of the customer servicerepresentative as indicated by the biometric data.
 11. The system ofclaim 7, wherein the sampling rate is positively correlated with theduration of time that the customer service representative has beencontinuously working as indicated by the business process data.